Summary
Hsuan Ku is an engineering lead with 11 years of experience building scalable, high-performance server-side systems and driving AI-infused product improvements across e-sports, VOD SaaS, and e-commerce. He combines deep hands-on skills in cloud-native microservices (AWS, Docker, Terraform), data infrastructure (Kafka, PostgreSQL, DynamoDB, BigQuery) and ML tooling (Keras, Scikit-learn, Airflow) to deliver low-latency streaming, recommendation systems, and production-grade ML features. At KKStream he led low-latency live-streaming and recommendation initiatives, and at SHOPLINE he pioneered a ChatGPT-enhanced test framework that bridged AI research and developer productivity. Comfortable leading cross-functional teams, he moves fluidly between architecture, data engineering and applied ML while promoting CI/CD and observability best practices. Based in New Taipei, Taiwan, he pairs a master’s background in information management with international startup experience, including a Berlin startup crash course that shaped his product-minded engineering. Colleagues describe him as an innovative problem-solver who turns complex requirements into pragmatic, scalable solutions.
11 years of coding experience
5 years of employment as a software developer
Management Information System, Information Technology, Management Information System, Information Technology at Sun Yat-sen University
Summer program, Startup crash course, Summer program, Startup crash course at Technische Universität Berlin
Bachelor's Degree, Management Information Systems, General, Bachelor's Degree, Management Information Systems, General at Chung Yuan Christian University
English